Triple

T37105495
Position Surface form Disambiguated ID Type / Status
Subject Team Encounter E918827 entity
Predicate relatedTo P37 FINISHED
Object SETI League
The SETI League is a nonprofit, membership-supported organization that promotes and coordinates amateur participation in the scientific search for extraterrestrial intelligence using radio astronomy techniques.
E2212508 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SETI League | Statement: [Team Encounter, relatedTo, SETI League]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SETI League
Triple: [Team Encounter, relatedTo, SETI League]
Generated description
The SETI League is a nonprofit, membership-supported organization that promotes and coordinates amateur participation in the scientific search for extraterrestrial intelligence using radio astronomy techniques.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2ff27ed481909fda7cb1b8d518de completed May 6, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdd7df748190b71cb85588a1774e completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3eff236cfc8190860fe9c296aa5fd2 completed June 26, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a3f0a529f148190b754be085e044efd completed June 26, 2026, 11:25 p.m.
Created at: May 3, 2026, 4:14 p.m.